PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

7.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (415 utterances, 1,817 words searched).

  1. what's that cheesy smell ? MOT · eng_british_Manchester_II/warr27b.cha, line 13 · Warren 2;07
  2. what's a roller ? MOT · eng_british_Manchester_II/warr27b.cha, line 122 · Warren 2;07
  3. what's a roller ? MOT · eng_british_Manchester_II/warr27b.cha, line 124 · Warren 2;07
  4. what's a roller ? MOT · eng_british_Manchester_II/warr27b.cha, line 126 · Warren 2;07
  5. what's that ? MOT · eng_british_Manchester_II/warr27b.cha, line 290 · Warren 2;07
  6. what's that like ? MOT · eng_british_Manchester_II/warr27b.cha, line 303 · Warren 2;07
  7. what's happened to your nose ? MOT · eng_british_Manchester_II/warr27b.cha, line 426 · Warren 2;07
  8. what's a bumper ? MOT · eng_british_Manchester_II/warr27b.cha, line 614 · Warren 2;07
  9. what's Mummy making ? MOT · eng_british_Manchester_II/warr27b.cha, line 750 · Warren 2;07
  10. what's Mummy made ? MOT · eng_british_Manchester_II/warr27b.cha, line 756 · Warren 2;07
  11. what's Warren going to make ? MOT · eng_british_Manchester_II/warr27b.cha, line 813 · Warren 2;07
  12. what's Mummy +//. MOT · eng_british_Manchester_II/warr27b.cha, line 838 · Warren 2;07
  13. what's on your foot ? MOT · eng_british_Manchester_II/warr27b.cha, line 1135 · Warren 2;07
  1. eng_british_Manchester_II/warr27b.cha, line 13 · Warren, 2;7.08
    MOToh .
    MOT*MOT: what's that cheesy smell ?
    MOTlet me see what that cheesy smell .
    MOToh: .
  2. eng_british_Manchester_II/warr27b.cha, line 122 · Warren, 2;7.08
    CHIwant to do a roller .
    MOTyou want to do a roller ?
    MOT*MOT: what's a roller ?
    MOTwhat's a roller ?
    MOTwhat's a roller ?
  3. eng_british_Manchester_II/warr27b.cha, line 124 · Warren, 2;7.08
    MOTyou want to do a roller ?
    MOTwhat's a roller ?
    MOT*MOT: what's a roller ?
    MOTwhat's a roller ?
    CHIxxx .
  4. eng_british_Manchester_II/warr27b.cha, line 126 · Warren, 2;7.08
    MOTwhat's a roller ?
    MOTwhat's a roller ?
    MOT*MOT: what's a roller ?
    CHIxxx .
    CHImaybe make a finger .
  5. eng_british_Manchester_II/warr27b.cha, line 290 · Warren, 2;7.08
    CHIdo that .
    CHIprod .
    MOT*MOT: what's that ?
    CHIa big w@l for Warren .
    CHIlook .
  6. eng_british_Manchester_II/warr27b.cha, line 303 · Warren, 2;7.08
    CHImy [*] make a prod in there .
    CHIoh this hole .
    MOT*MOT: what's that like ?
    MOTit's like a o@l for orange , isn't it ?
    CHIvery big hole that .
  7. eng_british_Manchester_II/warr27b.cha, line 426 · Warren, 2;7.08
    MOTyou just want little balls .
    MOTright okay .
    MOT*MOT: what's happened to your nose ?
    CHIxxx .
    MOTwhere did it go ?
  8. eng_british_Manchester_II/warr27b.cha, line 614 · Warren, 2;7.08
    MOTmake a what ?
    CHImake a bumper .
    MOT*MOT: what's a bumper ?
    MOTa bumper for a car ?
    CHIyeah .
  9. eng_british_Manchester_II/warr27b.cha, line 750 · Warren, 2;7.08
    INVgo on .
    INVI'll hold it if you want .
    MOT*MOT: what's Mummy making ?
    MOThave you noticed ?
    CHI<Mummy Mummy Mummy> [/] Mummy .
  10. eng_british_Manchester_II/warr27b.cha, line 756 · Warren, 2;7.08
    MOThave you noticed ?
    CHI<Mummy Mummy Mummy> [/] Mummy .
    MOT*MOT: what's Mummy made ?
    CHIa little car .
    CHIit goes drive .
  11. eng_british_Manchester_II/warr27b.cha, line 813 · Warren, 2;7.08
    MOTthere's the exhaust pipe .
    MOTwhat shall we make now ?
    MOT*MOT: what's Warren going to make ?
    CHIoh it's a big roof .
    CHIbig roof .
  12. eng_british_Manchester_II/warr27b.cha, line 838 · Warren, 2;7.08
    MOTit hurts Mummy's legs .
    CHIouch .
    MOT*MOT: what's Mummy +//.
    MOTMummy's making a little bracelet now .
    CHIouch .
  13. eng_british_Manchester_II/warr27b.cha, line 1135 · Warren, 2;7.08
    MOTit hurts .
    CHIouch .
    MOT*MOT: what's on your foot ?
    MOTsnap [/] snap .
    CHIdo that another foot .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Warren eng_british_Manchester_II7.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr27b.chaWarren 2;7.081,81713137.15

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. what's13 · 100.0%